研究论文

双重信号放大的竞争型免疫传感器的制备及其应用于瘦肉精检测的研究

  • 肖飞 ,
  • 白静 ,
  • 张苧丹 ,
  • 赖彦君 ,
  • 金利通
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  • 华东师范大学化学系 上海 200062

收稿日期: 2011-11-25

  修回日期: 2012-02-27

  网络出版日期: 2012-05-28

基金资助

上海市科委专项(No. 06dz05824)资助项目.

Construction of Dual Signal Amplification Competitive Immunosensor for Detection of Clenbuterol

  • Xiao Fei ,
  • Bai Jing ,
  • Zhang Ningdan ,
  • Lai Yanjun ,
  • Jin Litong
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  • Department of Chemistry, East China Normal University, Shanghai 200062

Received date: 2011-11-25

  Revised date: 2012-02-27

  Online published: 2012-05-28

Supported by

Project supported by Shanghai Science and Technology Commission Foundation (No. 06dz05824).

摘要

制备了葡萄糖氧化酶(GOD)-克伦特罗(Clenbuterol, CB)功能纳米复合物, 并采用共价键合和温育组装等方法构建了双重信号放大的竞争型免疫传感器. 研究了GOD 催化氧化葡萄糖和普鲁士蓝(PB)催化还原H2O2 双重信号放大的反应机理和传感器检测CB 的作用机制. 用扫描电子显微镜(SEM)等方法表征了纳米复合材料的形貌和复合物中GOD的活性, 复合物中的GOD 保持了良好的电催化性能和酶动力学响应, 并且符合米氏动力学方程. 最佳实验条件下, 该免疫传感器对盐酸克伦特罗的检测线性范围为0.01~100 ng/mL, 检测限达4.50 pg/mL. 实验结果表明, 该传感器对瘦肉精克伦特罗的检测具有灵敏度高, 特异性强, 重现性好, 线性范围宽和检测限低等优点. 将该方法用于猪肝样品的分析, 加标样品回收率在97.5%~102%之间. 该研究为瘦肉精及β-受体兴奋剂的分析提供了一种新方法.

本文引用格式

肖飞 , 白静 , 张苧丹 , 赖彦君 , 金利通 . 双重信号放大的竞争型免疫传感器的制备及其应用于瘦肉精检测的研究[J]. 化学学报, 2012 , 70(10) : 1153 -1158 . DOI: 10.6023/A1111253

Abstract

A dual signal amplification immunosensor based on glucose oxidase (GOD)-functionalized nanocomposites was developed for the detection of clenbuterol. The characteristics of the nanocomposites were confirmed by scanning electron microscopy (SEM) and spectrophotometry. The results indicate that GOD in the nanocomposites keeps good enzyme dynamic response and electro-catalysis performance. The detection mechanism of the immunosensor was investigated by electrochemical methods of differential pulse voltammetry (DPV). A set of experimental conditions were also optimized for the detection of clenbuterol. The developed immunosensor exhibited high sensitivity, selectivity and reproducibility, which had a wide linear range of 0.01~100 ng/mL and a low detection limit of 4.50 pg/mL for clenbuterol. Accurate detection of clenbuterol in pig liver samples was demonstrated by standard addition method.

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